AI Product EngineerIndia6+ yrs shipping
Most AI demos die in production. I build the ones that don't.
End to end: the streaming interface and the model behind it. Right now, an enterprise AI assistant on AWS Bedrock at JupiterOne. Before it, an AI SaaS I founded, grew past 40,000 users, and sold. Alongside it, local-first AI tooling I maintain in the open.
Open to US / UK / Canada · remote or relocation · needs visa sponsorship
01 / WHY — Why build it
Most AI demos die in production. I build the ones that survive contact with real users.
The case
Most teams split this across three hires. It is one person.
Frontend, the model behind it, the ops that keep it honest, and the security that keeps it shippable. One stack, one owner, no handoffs.
Frontend & AI UX
React / Next streaming interfaces. The part users actually touch.
LLM Backend
RAG, agents, tool use on Bedrock, OpenAI, Claude, and local models.
LLMOps
Evals, caching, monitoring. Catches model regressions before users do.
AI Security
OWASP LLM Top 10, prompt-injection defense, RAG hardening. My day job.
0 → 1 Product
Founded, shipped, and sold an AI SaaS. 40K+ users across 25 countries.